2 citations · 3 across the 5 of their papers we have counts for
5 papers
A Node Embedding Framework for Integration of Similarity-based Drug Combination Prediction
Liang Yu, Mingfei Xia, Lin Gao
Motivation: Drug combination is a sensible strategy for disease treatment by improving the efficacy and reducing concomitant side effects. Due to the large number of possible combi…
Predicting potential treatments for complex diseases based on miRNA and tissue specificity
Liang Yu, Jin Zhao, Lin Gao
Drug repositioning, that is finding new uses for existing drugs to treat more patients. Cumulative studies demonstrate that the mature miRNAs as well as their precursors can be tar…
Discovery of new drug therapeutic indications from gene mutation information for hepatocellular carcinoma
Liang Yu, Fengdan Xu, Lin Gao
Hepatocellular carcinoma (HCC) is the most common primary liver malignancy and is a leading cause of cancer-related death worldwide. However, cure is not possible with currently us…
Predicting therapeutic and aggravating drugs for hepatocellular carcinoma based on tissue-specific pathways
Liang Yu, Fengdan Xu, Lin Gao
Motivation: Hepatocellular carcinoma (HCC) is a significant health problem worldwide and annual number of cases are nearly more than 700,000. However,there are few safe and effecti…
MOHCS: Towards Mining Overlapping Highly Connected Subgraphs
Xiahong Lin, Lin Gao, Kefei Chen +1
Many networks in real-life typically contain parts in which some nodes are more highly connected to each other than the other nodes of the network. The collection of such nodes are…